Asynchronous Crawler Acceleration Solution: aiohttp Mega Request Optimization

When Crawlers Meet Traffic: Here Comes the Savior of Asynchronous Requests

Crawler brothers and sisters must have encountered this scenario: obviously to catch millions of data, the results of the program ran like an old cow pulling a broken car. This time to move out of the asynchronous artifacts aiohttp, but the tool is not enough to match our ipipgo's agent pool is called like a tiger with wings.

Traditional synchronous requests are like a single lane, where only one car can pass at a time. Switching to asynchronous mode directly upgrades it to eight lanes, but be careful not to paralyze the server with dislikes. At this pointThe proxy ip is the temporary license plate for each requestThe dynamic ip pool with ipipgo can be randomly dressed for each request, both to avoid blocking and to maintain speed.

Proxy ip of the three diamonds: choose the right service provider less stepping on the pits

There are all sorts of agency services on the market, but the reliable ones have to look at these three things:

In particular, I would like to compliment ipipgo's intelligent switching strategy, encountered a lag automatically cut the line of this function, the last time I climbed an e-commerce platform when the success rate directly from 60% soared to 92%.

Hands-On Adjustment: The Rules of Surviving a Million Requests

Let's start with a few common mistakes that newbies make:

1. Concurrency is too high: Don't think the bigger the number the better, it's recommended to start at 500 and add slowly. With ipipgo it's recommended to keep it under 3000, after all, you have to dress up for every request!
2. Timeout settings are too rigid: Recommended read/write timeouts are divided into sub-divisions, and read_timeout is recommended to start at 15 seconds.
3. Non-rotation of requesting heads: with the proxy ip, each request is best to even UA are new, ipipgo background can automatically bind different devices fingerprints

Real-world code: three tips for speeding up the process

On to something dry, looking directly at the skeleton of the optimized code:

async def fetch(url).
    proxy = f "http://{random account}:密码@gateway.ipipgo.net:端口"
    async with aiohttp.ClientSession(connector=proxy connection pool) as session.
        async with session.get(url, proxy=proxy.
                              headers=random request headers, timeout=15) as resp: async with session.get(url, proxy=proxy,
                              timeout=15) as resp.
            return await resp.text()

Note that ipipgo's account authentication mode is used here, which makes it easier to deploy across regions than traditional whitelisting. Remember to control the concurrency in the semaphore, don't let the server treat you as a flood.

Frequently Asked Questions QA

Q: What should I do if I always encounter CAPTCHA?
A: Mix ipipgo's residential agent and server room agent, set different intervals for access frequency, and personally test that it can reduce 70% CAPTCHA trigger.

Q: Asynchronous requests suddenly fail in large numbers?
A: Check three things: 1. ipipgo background balance is sufficient 2. local DNS is set 8.8.8.8 3. whether to forget to set SSL certificate verification

Q: How can I tell if the proxy ip is working?
A: Add a debug statement to the code to print the response.request_info.proxy object to see if it is the gateway address of ipipgo

Lastly, don't just look at the price when choosing a proxy service. Like ipipgo can provide request data analysis, encounter problems can also look at the report troubleshooting, than simply spell low price is much more real. After all, time is money, and no one wants to be woken up by an alarm message in the middle of the night, right?